do not deepcopy wcs

jwst/resample/resample_utils.py

@@ -138,11 +138,8 @@ def calc_gwcs_pixmap(in_wcs, out_wcs, shape=None):
 
     grid = gwcs.wcstools.grid_from_bounding_box(bb)
 
-    if hasattr(out_wcs, "bounding_box"):
-        orig_bbox = getattr(out_wcs, "bounding_box", None)
-        out_wcs.bounding_box = None
-    else:
-        orig_bbox = None
+    orig_bbox = out_wcs.bounding_box
+    out_wcs.bounding_box = None
     try:
         pixmap = np.dstack(reproject(in_wcs, out_wcs)(grid[0], grid[1]))
     finally:
@@ -178,13 +175,10 @@ def reproject(wcs1, wcs2):
         # keyword arguments and `with_bounding_box=False` cannot be passsed.
         # We delete the bounding box on a copy of the WCS - yes, inefficient.
         forward_transform = wcs1.pixel_to_world_values
-        wcs_no_bbox = deepcopy(wcs2)
-        wcs_no_bbox.bounding_box = None
-        backward_transform = wcs_no_bbox.world_to_pixel_values
+        backward_transform = wcs2.world_to_pixel_values
     except AttributeError as err:
         raise TypeError("Input should be a WCS") from err
 
-
     def _reproject(x, y):
         sky = forward_transform(x, y)
         flat_sky = []

jwst/skymatch/skymatch_step.py

@@ -169,7 +169,6 @@ def _imodel2skyim(self, image_model, index):
                                  .format(image_model.meta.filename))
 
         wcs = deepcopy(image_model.meta.wcs)
-        wcs.bounding_box = None
 
         sky_im = SkyImage(
             image=image_model.data,